13 citations as recorded by crossref.

1. Radiological risk assessment method for the interim storage of radioactive materials I. Kaissas et al. https://doi.org/10.1140/epjs/s11734-023-00897-3
2. Moisture dynamics in walls: response to micro-environment and climate change C. Hall et al. https://doi.org/10.1098/rspa.2010.0131
3. Exploring Heavy Metals Exposure in Urban Green Zones of Thessaloniki (Northern Greece): Risks to Soil and People’s Health I. Papadopoulos et al. https://doi.org/10.3390/toxics13080632
4. Rain intensity forecast using Artificial Neural Networks in Athens, Greece P. Nastos et al. https://doi.org/10.1016/j.atmosres.2011.07.020
5. Artificial neural networks modeling for forecasting the maximum daily total precipitation at Athens, Greece P. Nastos et al. https://doi.org/10.1016/j.atmosres.2013.11.013
6. An inventory of flood events in Athens, Greece, during the last 130 years. Seasonality and spatial distribution M. Diakakis https://doi.org/10.1111/jfr3.12053
7. Analysis of Precipitation Climatology Trends over Greece Based on Gridded Observational and Reanalysis Databases A. Retalis et al. https://doi.org/10.3390/cli14020041
8. Analysis of Increasing Flash Flood Frequency in the Densely Urbanized Coastline of the Campi Flegrei Volcanic Area, Italy G. Esposito et al. https://doi.org/10.3389/feart.2018.00063
9. Flood seasonality in Greece and its comparison to seasonal distribution of flooding in selected areas across southern Europe M. Diakakis https://doi.org/10.1111/jfr3.12139
10. Spatial variability and trends of the rain intensity over Greece H. Kambezidis et al. https://doi.org/10.5194/adgeo-26-65-2010
11. Iso-severity flood hazard patterns in diverse relief and climatic regions to support flood management R. Mostafazadeh et al. https://doi.org/10.1007/s11069-025-07492-w
12. Precipitation Forecast Using Artificial Neural Networks in Specific Regions of Greece K. Moustris et al. https://doi.org/10.1007/s11269-011-9790-5
13. Modeling Effects of Precipitation on Vehicle Speed: Floating Car Data Approach I. Stamos et al. https://doi.org/10.3141/2551-12